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<p>One of China’s most important endangered plants, <i>Tetraena mongolica</i>, has a great ecological significance for restoring desert vegetation due to its remarkable resistance to heat stress and drought. A widely non-targeted metabolomics technique was applied to examine the metabolites found in undifferentiated cambial meristematic cells (CMCs) and dedifferentiated cells (DDCs) of <i>T. mongolica</i>. Using liquid chromatography-mass spectrometry, 1463 differentially expressed metabolites were detected along with the highest (30.14%) quantity of metabolites in <i>T. mongolica</i> that are amino acids and derivatives. The principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) discovered substantial variances between the aboveground and underground metabolites of CMCs and DDCs. A correlation between metabolites and metabolic pathways as well as their impact on the development and maturation of this plant was demonstrated using Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis. This study results displayed that CMCs and DDCs have quite different metabolite profiles, which serves as the basis for creating a theoretical and functional framework for growing and using this plant.</p>

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Use of non-targeted metabolomics to explore metabolic differences between stem cells and callus of Tetraena mongolica

  • 期刊论文

  • 发表日期：

    2025年6月10日

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  • Yeru Yang,
  • Haihua Li,
  • Ruiping Wang,
  • Jiahe Li,
  • Ling Li,
  • Jiayu Li,
  • Lin Ou,
  • Jun Li,
  • Chengbo Zhang,
  • Liyu Wang,
  • Fengqiang Yu,
  • Zhi He,
  • Haifeng Yang,
  • Pengfei Zhou

摘要

One of China’s most important endangered plants, Tetraena mongolica, has a great ecological significance for restoring desert vegetation due to its remarkable resistance to heat stress and drought. A widely non-targeted metabolomics technique was applied to examine the metabolites found in undifferentiated cambial meristematic cells (CMCs) and dedifferentiated cells (DDCs) of T. mongolica. Using liquid chromatography-mass spectrometry, 1463 differentially expressed metabolites were detected along with the highest (30.14%) quantity of metabolites in T. mongolica that are amino acids and derivatives. The principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) discovered substantial variances between the aboveground and underground metabolites of CMCs and DDCs. A correlation between metabolites and metabolic pathways as well as their impact on the development and maturation of this plant was demonstrated using Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis. This study results displayed that CMCs and DDCs have quite different metabolite profiles, which serves as the basis for creating a theoretical and functional framework for growing and using this plant.